Ask biology. Discover relationships. Accelerate research.
BioAsk helps researchers search biomedical literature, patents, and clinical trial knowledge using entity extraction, relationship discovery, visualization, and structured exploration.
Entity: TP53 tumor suppressor
Relationship: p53 regulates apoptosis
Source: Literature / patents / trials
Designed for biomedical discovery
BioAsk combines search, text mining, categorization, entity recognition, and visualization into one research interface.
Biomedical Search
Search life-science content from biomedical literature, patent records, and clinical-trial information.
Bio-Entity Detection
Identify genes, proteins, diseases, pathways, organisms, and other biological entities inside unstructured text.
Entity Relationships
Discover hidden associations between biological entities that may not be obvious in standard keyword search.
Visualization
Explore relationships through graphs, clusters, and structured views that make complex biomedical results easier to understand.
Search across biomedical repositories
The original BioAsk community version was described as covering Medline abstracts, patents, and clinical trials.
Medline Abstracts
Scientific publication abstracts for biomedical discovery.
Patents
Patent-linked innovation, technology, molecules, and methods.
Clinical Trials
Trial-related biomedical and therapeutic knowledge signals.
From keywords to structured knowledge
Instead of only listing documents, BioAsk can organize results by themes, entities, facts, and relationships. This helps researchers move from search results to usable biological insight.
- Extract biological concepts from text
- Group results by themes and entities
- Visualize relationships between terms
- Annotate and refine discoveries
Detected Entities
TP53, MDM2, apoptosis, DNA damage, breast cancer, cell cycle.
Detected Relationships
TP53 regulates apoptosis. MDM2 negatively regulates p53 stability.
Research Themes
Cancer biology, tumor suppression, DNA repair, therapeutic targeting.
How BioAsk works
Ask a biological question
Start with a keyword, gene, disease, pathway, molecule, or research question.
Search biomedical repositories
Retrieve relevant records from literature, patents, and clinical knowledge sources.
Extract entities and facts
Detect biological entities, concepts, and relationships from unstructured text.
Explore visual knowledge
Use categorized results and graph-style visualization to find research connections.
Questions researchers can ask
Rebuild BioAsk as a modern biomedical discovery portal
A clean homepage for search, research navigation, biomedical knowledge discovery, and AI-assisted life-science exploration.
Start exploring